ELE528: INFORMATION THEORY

Spring 1995

Professor Sergio Verdú

1. SOURCE CODING

Noiseless source coding of memoryless sources - Asymptotic Equipartition Property - Divergence & Entropy - Variable Length Source - Coding Coding Theorem for Stationary Ergodic Sources - Lempel Ziv Algorithm and its optimality - Separate Encoding of Correlated Sources - Rate-Distortion Theory

2. CHANNEL CODING

Binary Hypothesis Testing: Bounds and Asymptotic Analysis - Properties of Divergence and Mutual Information - Codes and Bounds - Channels, Capacity, and Coding Theorem - Source Channel Separation

3. GAUSSIAN CHANNELS

Capacity of memoryless channels - Capacity of parallel channels - Colored noise channels

4. MULTIUSER INFORMATION THEORY

Multiaccess Channel - Coding theorem - Gaussian Multiple Access Channel


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